{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "45746a85-ef2c-4df0-82e9-ed8a901eba84",
   "metadata": {},
   "source": [
    "# Job Shop Scheduling Benchmarking Environment"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79883758-0bf5-4e83-bd9c-9df3994b7f29",
   "metadata": {},
   "source": [
    "This notebook introduces an open-source GitHub repository designed to benchmark and solve a wide range of machine scheduling problems, with a focus on job shop scheduling (JSP) and related problem types. Developed to address the long-standing need for a comprehensive testing environment, this resource supports various problem configurations, including classical Job Shops (JSP), Flow Shops (FSP), Flexible Job Shops (FJSP), Assembly scheduling with dependencies (FAJSP), and Flexible Job Shops with Sequence-Dependent Setup Times (FJSP-SDST).\n",
    "\n",
    "This repository includes a diverse set of approaches, from traditional heuristics and meta-heuristics to exact solutions and advanced deep reinforcement learning techniques. With this environment, researchers, practitioners, and machine scheduling enthusiasts can experiment with and benchmark their methods, contributing to ongoing advancements in operations research and machine learning for scheduling applications.\n",
    "\n",
    "Let’s start by importing the required packages:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b5db17f9-d982-46c7-b8e0-b770edaeee61",
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "\n",
    "from visualization import gantt_chart, precedence_chart\n",
    "from data.data_parsers.parser_fjsp import parse_fjsp\n",
    "from scheduling_environment.jobShop import JobShop\n",
    "\n",
    "from solution_methods.helper_functions import load_job_shop_env, load_parameters\n",
    "from solution_methods.dispatching_rules.run_dispatching_rules import run_dispatching_rules\n",
    "from solution_methods.GA.src.initialization import initialize_run\n",
    "from solution_methods.GA.run_GA import run_GA\n",
    "from solution_methods.MILP.run_MILP import run_MILP\n",
    "from solution_methods.FJSP_DRL.run_FJSP_DRL import run_FJSP_DRL"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b914394-1416-43a6-b822-ac360bf82cff",
   "metadata": {},
   "source": [
    "#### Environment Configuration"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b1e913a-3677-4278-8cb6-cecb587566ff",
   "metadata": {},
   "source": [
    "We start by configuring the environment. For this, we provide a set of parsers that can be used to parse data files from various benchmarking instances from the literature to configure the JobShop environment. As many different sources of instances exist, the parsers parse the information from the data format into the data objectives from the benchmarking environment. You can find the parsers in the 'data_parsers' folder and can use them as follows:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39f5c636-bf13-4fd2-b54c-7e185c4207f4",
   "metadata": {},
   "source": [
    "##### Instance Parsing:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cfc80ec5-a542-48ce-b743-1fcf0f9c8e66",
   "metadata": {},
   "outputs": [],
   "source": [
    "jobShopEnv = JobShop()\n",
    "jobShopEnv = parse_fjsp(jobShopEnv, '/fjsp/brandimarte/MK01.fjs')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b88f0afa-ef66-4ece-97fa-5980c99e85de",
   "metadata": {},
   "source": [
    "We also provide a 'helper function', that creates the JobShop() object, and selects based on the naming of the problem instance the right parser to be used:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8268e82d-935b-476e-bb45-c003c90c3f1b",
   "metadata": {},
   "outputs": [],
   "source": [
    "jobShopEnv = load_job_shop_env('/fjsp/brandimarte/MK01.fjs')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98bb6d74-482e-4ec3-90eb-d95ee5b3bdbd",
   "metadata": {},
   "source": [
    "##### Instance inspection:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14b41c7d-adc0-458f-9132-83832e0bea0e",
   "metadata": {},
   "source": [
    "To inspect the instance we can plot it precedence relations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "926f0f87-a0e8-4f34-946b-c1fb1e888eda",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "precedence_chart.plot(jobShopEnv)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37c8335a-5f60-4071-bbaf-97eb9888611f",
   "metadata": {},
   "source": [
    "##### Object ineractions:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7557fcf3-82e5-4538-b0e3-e40bfcdb4559",
   "metadata": {},
   "source": [
    "We can now interact with the jobShopEnv to inspect its job, operation and machine objects, and make use of scheduling operators to schedule different operations within the environment. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d613d163-d710-4450-b82f-e39e1d04d0e8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Job Shop Environment:\n",
      "<JobShop(instance='/fjsp/brandimarte/MK01.fjs', jobs=10, operations=55, machines=6)>\n"
     ]
    }
   ],
   "source": [
    "# Display the Job Shop Environment information\n",
    "print('Job Shop Environment:')\n",
    "print(jobShopEnv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9365c11d-a1ff-46b4-a3dd-742d83b1a794",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "With the following Jobs:\n",
      "[<Job(job_id=0)>, <Job(job_id=1)>, <Job(job_id=2)>, <Job(job_id=3)>, <Job(job_id=4)>, <Job(job_id=5)>, <Job(job_id=6)>, <Job(job_id=7)>, <Job(job_id=8)>, <Job(job_id=9)>]\n"
     ]
    }
   ],
   "source": [
    "# Display the list of jobs in the environment\n",
    "print('With the following Jobs:')\n",
    "print(jobShopEnv.jobs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "26c3c276-6ac0-4925-b1bb-b926d628b890",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Where the first job (job_id=0) has the following operations:\n",
      "[<Operation(job_id=0, operation_id=0)>, <Operation(job_id=0, operation_id=1)>, <Operation(job_id=0, operation_id=2)>, <Operation(job_id=0, operation_id=3)>, <Operation(job_id=0, operation_id=4)>, <Operation(job_id=0, operation_id=5)>]\n"
     ]
    }
   ],
   "source": [
    "# Display the operations of the first job (job_id=0)\n",
    "print('Where the first job (job_id=0) has the following operations:')\n",
    "job = jobShopEnv.get_job(job_id=0)\n",
    "print(job.operations)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1dc45fc9-7697-4860-b457-971b6c838467",
   "metadata": {},
   "source": [
    "#### Starting to schedule"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80ef96fc-5bc7-475d-9343-b32e17284393",
   "metadata": {},
   "source": [
    "We show how to ineract with the scheduling environment by building a simple 'scheduler'. This scheduler select randomly an operation to be scheduled from the set of operations that are available for scheduling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ea2695f3-f9dc-4b48-8c4e-e48e84ba879d",
   "metadata": {},
   "outputs": [],
   "source": [
    "jobShopEnv = load_job_shop_env('/fjsp/brandimarte/MK04.fjs')\n",
    "jobShopEnv.update_operations_available_for_scheduling()\n",
    "while len(jobShopEnv.scheduled_operations) < jobShopEnv.nr_of_operations:\n",
    "    operation = random.choice(jobShopEnv.operations_available_for_scheduling)\n",
    "    machine_id = random.choice(list(operation.processing_times.keys()))\n",
    "    duration = operation.processing_times[machine_id]\n",
    "    jobShopEnv.schedule_operation_on_machine(operation, machine_id, duration)\n",
    "    jobShopEnv.update_operations_available_for_scheduling()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e5e4dd9-5db1-40e0-beb8-d618983dfd13",
   "metadata": {},
   "source": [
    "The solution is generated with the jobShopEnv.schedule_operation_on_machine(operation, machine_id, duration) function. This function schedules an operation on the specified machine by adding it after the last operation that has already been scheduled on that machine.\n",
    "\n",
    "Other functions to schedule operations are also provided, such as:\n",
    "\n",
    "- jobShopEnv.schedule_operation_with_backfilling(operation, machine_id, duration)\n",
    "\n",
    "This function schedules an operation at the earliest possible time with backfilling. It checks if there is an earlier gap in the schedule where the operation can be performed. If a suitable gap is found, the operation is scheduled to make use of unused time, resulting in a more efficient schedule. Backfilling allows the system to maximize machine utilization by filling in idle periods between operations.\n",
    "\n",
    "- jobShopEnv.schedule_operation_on_machine_at_time(operation, machine_id, start_time, duration)\n",
    "\n",
    "This function schedules an operation on a specified machine at a given start time. It ensures that the operation is placed at the exact time specified, taking into account any necessary setup times or constraints. This method provides more control over the scheduling process when a specific time is required for the operation to begin."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b9160c4-0560-447b-8e4a-42f24acd4324",
   "metadata": {},
   "source": [
    "##### Plotting solution"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d662bb2f-54d0-430e-85ea-6dcc6c62a652",
   "metadata": {},
   "source": [
    "After a schedule is obtained, we can pass the jobShopEnvironment to a plotting function, to plot the found solution:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "eaf26fa6-4aa6-4ae9-a5f4-934315ea7f4d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gantt_chart.plot(jobShopEnv);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8369c406-656b-4bd6-a92e-1be90f10534a",
   "metadata": {},
   "source": [
    "### Solution Methods"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a28aea62-2894-4d72-b68d-028df04f70ea",
   "metadata": {},
   "source": [
    "The methods used to address variants of the Job Shop Scheduling Problem (JSP) can be broadly categorized into three main groups: \n",
    "\n",
    "- Exact Algorithms\n",
    "- Heuristic Algorithms\n",
    "- Machine Learning Approaches\n",
    "\n",
    "In this project, we have implemented a variety of methods from each of these categories in a standardized way. This allows users to configure their problem environment and pass it to the appropriate solution method. Below, we provide a few examples demonstrating how the solution methods interact with the configured problem environments.\n",
    "\n",
    "The parameters for different solution methods are specified in configuration files (.toml), which are located in the 'configs' directory. These files define the problem instance to be solved as well as the associated parameters for solving it. In the 'custom_problem_instance' tutorial, we show how these parameters can be included directly in the code, bypassing the need for a parameter .toml file."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72cfa944-5839-42d3-9f34-85a314aa26e6",
   "metadata": {},
   "source": [
    "#### Dispatching Rules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4a96b767-ba8c-4268-b327-e1f98a890c78",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Makespan: 1823\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "parameters = load_parameters(\"configs/dispatching_rules.toml\")\n",
    "jobShopEnv = load_job_shop_env(parameters['instance'].get('problem_instance'))\n",
    "\n",
    "makespan, jobShopEnv = run_dispatching_rules(jobShopEnv, **parameters)\n",
    "gantt_chart.plot(jobShopEnv);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe11b158-68db-480d-a5da-dec6a3dff820",
   "metadata": {},
   "source": [
    "#### Genetic Algorithm    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "189a1d39-2988-4ba0-a881-572173a43098",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:gen\tavg    \tstd          \tmin   \tmax   \n",
      "0  \t[512.9]\t[67.43656278]\t[418.]\t[642.]\n",
      "INFO:root:\n",
      "INFO:root:1  \t[456.3]\t[57.32198531]\t[410.]\t[563.]\n",
      "INFO:root:2  \t[416.8]\t[11.89789897]\t[399.]\t[442.]\n",
      "INFO:root:3  \t[413.1]\t[10.44461584]\t[399.]\t[428.]\n",
      "INFO:root:4  \t[404.9]\t[9.71030381] \t[399.]\t[428.]\n",
      "INFO:root:5  \t[399.] \t[0.]         \t[399.]\t[399.]\n",
      "INFO:root:6  \t[409.7]\t[28.6218448] \t[374.]\t[465.]\n",
      "INFO:root:7  \t[404.8]\t[22.21170862]\t[374.]\t[465.]\n",
      "INFO:root:8  \t[399.1]\t[11.88654702]\t[374.]\t[427.]\n",
      "INFO:root:9  \t[386.1]\t[12.11981848]\t[374.]\t[399.]\n",
      "INFO:root:10 \t[387.6]\t[14.58218091]\t[374.]\t[416.]\n",
      "INFO:root:Makespan: 374\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "parameters = load_parameters(\"configs/GA.toml\")\n",
    "jobShopEnv = load_job_shop_env(parameters['instance'].get('problem_instance'))\n",
    "\n",
    "population, toolbox, stats, hof = initialize_run(jobShopEnv, **parameters)\n",
    "makespan, jobShopEnv = run_GA(jobShopEnv, population, toolbox, stats, hof, **parameters)\n",
    "\n",
    "gantt_chart.plot(jobShopEnv);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d32ee19-62c0-4116-875f-e8675f08b3f7",
   "metadata": {},
   "source": [
    "#### Mixed-Interger Linear Programming"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a962b096-f199-4c7b-aa34-6c99519d8ed2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Set parameter Username\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Set parameter Username\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Academic license - for non-commercial use only - expires 2025-11-07\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Academic license - for non-commercial use only - expires 2025-11-07\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Set parameter TimeLimit to value 3600\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Set parameter TimeLimit to value 3600\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gurobi Optimizer version 11.0.3 build v11.0.3rc0 (win64 - Windows 10.0 (19045.2))\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Gurobi Optimizer version 11.0.3 build v11.0.3rc0 (win64 - Windows 10.0 (19045.2))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU model: Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz, instruction set [SSE2|AVX|AVX2]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:CPU model: Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz, instruction set [SSE2|AVX|AVX2]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Thread count: 6 physical cores, 12 logical processors, using up to 12 threads\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Thread count: 6 physical cores, 12 logical processors, using up to 12 threads\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimize a model with 1360 rows, 1160 columns and 6706 nonzeros\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Optimize a model with 1360 rows, 1160 columns and 6706 nonzeros\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model fingerprint: 0x45f066f2\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Model fingerprint: 0x45f066f2\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Variable types: 83 continuous, 1077 integer (1077 binary)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Variable types: 83 continuous, 1077 integer (1077 binary)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Coefficient statistics:\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Coefficient statistics:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Matrix range     [1e+00, 2e+03]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  Matrix range     [1e+00, 2e+03]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Objective range  [1e+00, 1e+00]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  Objective range  [1e+00, 1e+00]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Bounds range     [1e+00, 1e+00]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  Bounds range     [1e+00, 1e+00]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  RHS range        [1e+00, 5e+03]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  RHS range        [1e+00, 5e+03]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Presolve removed 17 rows and 705 columns\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Presolve removed 17 rows and 705 columns\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Presolve time: 0.01s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Presolve time: 0.01s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Presolved: 1343 rows, 455 columns, 6540 nonzeros\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Presolved: 1343 rows, 455 columns, 6540 nonzeros\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Variable types: 83 continuous, 372 integer (372 binary)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Variable types: 83 continuous, 372 integer (372 binary)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found heuristic solution: objective 842.0000000\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Found heuristic solution: objective 842.0000000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found heuristic solution: objective 829.0000000\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Found heuristic solution: objective 829.0000000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found heuristic solution: objective 569.0000000\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Found heuristic solution: objective 569.0000000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found heuristic solution: objective 567.0000000\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Found heuristic solution: objective 567.0000000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Root relaxation: objective 2.440000e+02, 123 iterations, 0.00 seconds (0.00 work units)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Root relaxation: objective 2.440000e+02, 123 iterations, 0.00 seconds (0.00 work units)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Nodes    |    Current Node    |     Objective Bounds      |     Work\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:    Nodes    |    Current Node    |     Objective Bounds      |     Work\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Expl Unexpl |  Obj  Depth IntInf | Incumbent    BestBd   Gap | It/Node Time\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy: Expl Unexpl |  Obj  Depth IntInf | Incumbent    BestBd   Gap | It/Node Time\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  244.00000    0   10  567.00000  244.00000  57.0%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  244.00000    0   10  567.00000  244.00000  57.0%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H    0     0                     315.0000000  244.00000  22.5%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:H    0     0                     315.0000000  244.00000  22.5%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H    0     0                     298.0000000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:H    0     0                     298.0000000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  244.00000    0   22  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  244.00000    0   22  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  244.00000    0   22  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  244.00000    0   22  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  244.00000    0    8  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  244.00000    0    8  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  244.00000    0   11  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  244.00000    0   11  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  244.00000    0   14  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  244.00000    0   14  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  244.00000    0   13  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  244.00000    0   13  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  244.00000    0   13  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  244.00000    0   13  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  244.00000    0   14  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  244.00000    0   14  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  244.00000    0    9  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  244.00000    0    9  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  244.00000    0    6  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  244.00000    0    6  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  244.00000    0   10  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  244.00000    0   10  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     0  244.00000    0   10  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     0  244.00000    0   10  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     0     2  244.00000    0    9  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:     0     2  244.00000    0    9  298.00000  244.00000  18.1%     -    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*  371   300              56     293.0000000  244.00000  16.7%   8.8    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:*  371   300              56     293.0000000  244.00000  16.7%   8.8    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*  435   347              55     291.0000000  244.00000  16.2%   8.5    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:*  435   347              55     291.0000000  244.00000  16.2%   8.5    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H  476   401                     283.0000000  244.00000  13.8%   8.4    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:H  476   401                     283.0000000  244.00000  13.8%   8.4    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H  511   401                     274.0000000  244.00000  10.9%   8.3    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:H  511   401                     274.0000000  244.00000  10.9%   8.3    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H  787   425                     267.0000000  244.00000  8.61%   7.9    0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:H  787   425                     267.0000000  244.00000  8.61%   7.9    0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H 2211   830                     266.0000000  244.00000  8.27%   7.3    1s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:H 2211   830                     266.0000000  244.00000  8.27%   7.3    1s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H 2215   791                     262.0000000  244.00000  6.87%   7.3    1s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:H 2215   791                     262.0000000  244.00000  6.87%   7.3    1s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "H 2600   774                     258.0000000  248.00000  3.88%   9.8    1s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:H 2600   774                     258.0000000  248.00000  3.88%   9.8    1s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "* 3835   433              48     257.0000000  255.00000  0.78%  10.4    2s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:* 3835   433              48     257.0000000  255.00000  0.78%  10.4    2s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cutting planes:\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Cutting planes:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Learned: 2\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  Learned: 2\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Gomory: 4\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  Gomory: 4\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Cover: 2\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  Cover: 2\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Implied bound: 1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  Implied bound: 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  MIR: 12\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  MIR: 12\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Flow cover: 11\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  Flow cover: 11\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  GUB cover: 1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  GUB cover: 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  RLT: 3\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:  RLT: 3\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Explored 10209 nodes (114779 simplex iterations) in 3.02 seconds (1.82 work units)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Explored 10209 nodes (114779 simplex iterations) in 3.02 seconds (1.82 work units)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Thread count was 12 (of 12 available processors)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Thread count was 12 (of 12 available processors)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Solution count 10: 257 258 262 ... 298\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Solution count 10: 257 258 262 ... 298\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimal solution found (tolerance 1.00e-04)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Optimal solution found (tolerance 1.00e-04)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best objective 2.570000000000e+02, best bound 2.570000000000e+02, gap 0.0000%\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:gurobipy:Best objective 2.570000000000e+02, best bound 2.570000000000e+02, gap 0.0000%\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "parameters = load_parameters(\"configs/milp.toml\")\n",
    "jobShopEnv = load_job_shop_env(parameters['instance'].get('problem_instance'))\n",
    "\n",
    "results, jobShopEnv = run_MILP(jobShopEnv, **parameters)\n",
    "gantt_chart.plot(jobShopEnv);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bcb5011b-67cf-4254-bf43-70179619d5a1",
   "metadata": {},
   "source": [
    "#### FJSP_DRL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "809cd371-9d29-49b1-a9f9-0e28b01d9764",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Trained policy loaded from /saved_models/train_20240314_192906/song_10_5.pt.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "parameters = load_parameters(\"configs/fjsp_drl.toml\")\n",
    "jobShopEnv = load_job_shop_env(parameters['test_parameters'].get('problem_instance'))\n",
    "\n",
    "makespan, jobShopEnv = run_FJSP_DRL(jobShopEnv, **parameters)\n",
    "gantt_chart.plot(jobShopEnv);"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
